ARM partners with eyeSight to offer gesture control on ARM® Mali™ GPUs

The Mali + eyeSight combination delivers gesture with leading
performance, efficiency and robustness

This industry first provides a flawless Natural User Interface for a
huge range of device types

TEL AVIV, Israel — (BUSINESS WIRE) — October 14, 2013 —
eyeSight, producer of the world’s most intuitive gesture control, today
announces that it has completed extensive work in partnership with ARM
to optimize its leading gesture recognition solution for use on ARM’s
Mali T600 Graphics Processing Units. Manufacturers using ARM Mali GPUs
can now benefit from eyeSight’s natural-feeling, advanced gesture
control capabilities, optimized using GPU Compute for improved
robustness, accuracy and energy efficiency. The improved efficiency of
gesture computation through use of the GPU will also improve a variety
of new use cases, such as face and emotion detection, long distance
finger tracking, and even 3D motion recognition (such as finger pointing
for selection).

The ARM Mali T600 GPU Compute optimized engine from eyeSight provides a
perfect solution for enabling gesture in mobiles, tablets and TVs and a
range of other devices. Products featuring ARM Mali GPUs with eyeSight’s
gesture solution will allow users to control user interfaces (UIs) and
content such as music and movies, to activate usability applications,
play games, or to browse menus with easy yet powerful hand and
fingertip-level gestures.

With eyeSight’s technology, Mali devices can recognise a rich language
of gestures including directional gestures, (such as up, right, wave,
etc.), hand signs (such as a ‘thumbs-up’), and tracking of hands and
even fingertips, (for mouse-cursor-accuracy).

“ARM is excited to be working closely with eyesight to offer our mutual
customers advanced gesture recognition technology,” commented Pete
Hutton, executive vice president and general manager, Media Processing
Division, ARM. “The optimization of gesture middleware solutions using
Mali GPU Compute in combination with ARM Cortex®-A processors using
NEON™ technology is an industry first. It enables impressive
performance, accuracy, robustness and efficiency. Developers no longer
need to worry about processing or ambient limitations as they create the
gesture-enabled applications of the future.”

“For ARM to have enabled us to optimise our software for use as part of
its ARM Mali GPU software stack shows that ARM understands the huge
market appeal of our software and of gesture technology more generally,
which is quickly becoming a prominent differentiating feature in devices
of all kinds,” commented Gideon Shmuel, CEO of eyeSight. “By making it
easier to integrate gesture into ARM powered devices, eyeSight and ARM
are providing a route to really bring gesture to the masses. We look
forward to developing our partnership with ARM.’

Low quality video resulting from low light conditions, or slow CPUs,
usually results in compromised gesture recognition. However, eyeSight’s
technology is particularly efficient, and Mali GPUs take processing load
away from the CPU. What’s more, eyeSight’s video pre-processing sits
between the camera and the gesture control, ‘cleaning up’ the image so
that the shapes and movement of hands and fingers can be recognised,
even when the original image is substandard, improving overall
performance in low-light conditions or when using low-resolution cameras.

With eyeSight’s technology on-board, Mali GPUs will also be able to
process gesture in three dimensions, via two-camera (‘stereoscopic’)
devices and devices with infrared (IR) depth perception.